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The Computer Scientist Challenging AI to Learn Better
From ACM Opinion

The Computer Scientist Challenging AI to Learn Better

Christopher Kanan is building algorithms that can continuously learn over time—the way people do.

How to Solve AI's 'Common-Sense' Problem
From ACM Opinion

How to Solve AI's 'Common-Sense' Problem

AI systems without common sense will make mistakes when they reach the limits of where they've been trained.

Democratizing LLMs Needs a Revolution in AI Hardware
From ACM Opinion

Democratizing LLMs Needs a Revolution in AI Hardware

Hardware barriers must be overcome to make LLMs available to a broader audience.

AI Education and Research
From ACM Opinion

AI Education and Research

An interview with Grid.ai's Sebastian Raschka.

An Interview with Dana Scott
From Communications of the ACM

An Interview with Dana Scott

ACM Fellow and A.M. Turing Award recipient Dana Scott reflects on his career.

Matthew Ball on the Metaverse
From ACM Opinion

Matthew Ball on the Metaverse

Leading metaverse theorist shares his thoughts on the sudden rise of the concept, its utility for the enterprise, and what we still get wrong.

Software Engineering Lessons
From ACM Opinion

Software Engineering Lessons

Software engineer, consultant, and author Karl Wiegers discusses specific practices based on his 50 years of experience in the industry.

Can Computers Be Mathematicians?
From ACM Opinion

Can Computers Be Mathematicians?

Artificial intelligence has bested humans at problem-solving challenges like chess and Go. Is mathematics research next?

'Video Games Are for Boys'
From ACM Opinion

'Video Games Are for Boys'

Hopscotch app co-founder Samantha John discusses her journey from avoiding video games to helping kids create them.

Quantifying Computing Power and Innovation
From ACM Opinion

Quantifying Computing Power and Innovation

Rapid increases in chip speed and power have fueled innovation in many industries, but the future trajectory of that progress may be in jeopardy.

Yann LeCun's Bold New Vision for the Future of AI
From ACM Opinion

Yann LeCun's Bold New Vision for the Future of AI

One of deep learning's godfathers pulls together old ideas to sketch out a fresh path for AI.

The Computer Scientist Who Parlays Failures into Breakthroughs
From ACM Opinion

The Computer Scientist Who Parlays Failures into Breakthroughs

An interview with Yale University Sterling Professor of Computer Science Daniel Spielman.

Intro to Model-Free and Model-Based Reinforcement Learning
From ACM Opinion

Intro to Model-Free and Model-Based Reinforcement Learning

Neuroscientist and author Daeyeol Lee talks reinforcement learning in humans and animals, AI and natural intelligence, and more.

Testing in Python with pytest
From ACM Opinion

Testing in Python with pytest

Software engineer discusses the popularity and use of pytest for Python testing.

Lina Khan, a Big Tech Critic, Tries Answering Detractors
From ACM Opinion

Lina Khan, a Big Tech Critic, Tries Answering Detractors

In an interview, the FTC chair lays out some of her plans now that she has a Democratic majority at the agency.

Teaching Robots to Help People in Their Everyday Lives
From ACM Opinion

Teaching Robots to Help People in Their Everyday Lives

An interview with Max Braun of Everyday Robots.

Why Science Needs More Research Software Engineers
From ACM Opinion

Why Science Needs More Research Software Engineers

Ten years after their profession got its name, research software engineers seek to swell their ranks.

What Is So Great about Quantum Computing?
From ACM Opinion

What Is So Great about Quantum Computing?

A Q&A with NIST theorist Alexey Gorshkov.

Code Breaker: Meet the Man Who Virtually Invented Computer Art
From ACM Opinion

Code Breaker: Meet the Man Who Virtually Invented Computer Art

Herbert W. Franke's digital work is finally being recognized as revolutionary after being rejected and scorned in the 1950s.

AI's Threats to Jobs and Human Happiness Are Real
From ACM Opinion

AI's Threats to Jobs and Human Happiness Are Real

But short-term job chaos will give way to long-term prosperity, says artificial intelligence expert Kai-Fu Lee.
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